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Updated: Mar 14, 2026

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
Published on: May 8, 2021
Adaptive PID control based on orthogonal endocrine neural networks.
Miroslav B Milovanović1, Dragan S Antić1, Marko T Milojković1
1University of Niš, Faculty of Electronic Engineering, Department of Control Systems, Aleksandra Medvedeva 14, 18000 Niš, Serbia.
A novel hybrid intelligent structure, OENN-OEANFIS, enhances PID controller performance by significantly minimizing system deviation signals by 17%-79%. This adaptive controller is ideal for nonlinear systems with disturbances.
Failed At:
2026-06-19T13:37:35.770064+00:00
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